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Predictive analytics, sometimes referred to as big data analytics, relies on aspects of datamining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.
Analytics layer: This is where all the consolidated data is stored for further analysis, reporting, and visualization. This layer typically includes tools for data warehousing, datamining, and businessintelligence, as well as advanced analytics and machine learning capabilities.
Over the past decade, businessintelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.
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